摘要
随着风电并网容量的持续增加,风电随机性给电力系统运行带来的风险也不断增加,传统经济调度方法已经难以满足电力系统安全运行需求。文章对风电不确定性带来的运行风险及节能减排的贡献进行量化研究,将量化所得的发电成本、环境成本及系统运行风险作为调度特征量,构建同时考虑发电资源消耗最少、环境效益最好和系统运行风险最小的多目标优化调度模型。以某地区电网为例,应用非线性原-对偶内点法对所建模型进行求解,分析风电入网系统运行风险、风电穿透功率对调度计划的影响及不同的调度特征量对总成本的影响,验证本文所建模型的合理性和有效性。
With large-scale wind power being integrated into power system, the risk caused by uncertainty of the wind power is increasing. Traditional dispatching method then cannot meet the demand for safe operation of the system. In this paper, the operation risk due to the uncertainty of wind generation and contribution to energy conservation and emission reduction that benefited from wind power are quantified, and corresponding quantified power-supply cost, environmental cost and operation risk are integrated into key characteristic dispatching factors to establish a multi-objective optimization dispatch model to implement the minimum of fuel consumption, energy environmental cost and operation risk. Nonlinear primal-dual interior point algorithm is used to solve the optimization problem. A region power grid is taken as an example to analyze the effect of wind power integrated system operation risk and integration level on the dispatching plan.Simulation results show the rationality and effectiveness of the proposed method.
出处
《可再生能源》
CAS
北大核心
2015年第4期558-564,共7页
Renewable Energy Resources
关键词
电力系统
大规模风电入网
运行风险
多目标优化
power system
large-scale wind power integration
operation risk
multi-objective optimization